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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li>  </ul>
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<div class="title">GpuIndexFlat.cu</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;GpuIndexFlat.h&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;../IndexFlat.h&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;GpuResources.h&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;impl/FlatIndex.cuh&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;utils/ConversionOperators.cuh&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;utils/CopyUtils.cuh&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;utils/Float16.cuh&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &quot;utils/StaticUtils.h&quot;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &lt;thrust/execution_policy.h&gt;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &lt;thrust/transform.h&gt;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div>
<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af8a1626e4c54a451d0b9f82df3a6687e">   25</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af8a1626e4c54a451d0b9f82df3a6687e">GpuIndexFlat::GpuIndexFlat</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;                           <span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a>* index,</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                           <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html">GpuIndexFlatConfig</a> config) :</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html">GpuIndex</a>(resources, index-&gt;d, index-&gt;metric_type, config),</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    config_(std::move(config)),</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    data_(nullptr) {</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;  verifySettings_();</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;  <span class="comment">// Flat index doesn&#39;t need training</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">copyFrom</a>(index);</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;}</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div>
<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#aff5330eb125352cc599224584bd5d6bb">   39</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af8a1626e4c54a451d0b9f82df3a6687e">GpuIndexFlat::GpuIndexFlat</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;                           <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                           <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a> metric,</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                           <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html">GpuIndexFlatConfig</a> config) :</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html">GpuIndex</a>(resources, dims, metric, config),</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    config_(std::move(config)),</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    data_(nullptr) {</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  verifySettings_();</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  <span class="comment">// Flat index doesn&#39;t need training</span></div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;  <span class="comment">// Construct index</span></div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a> = <span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html">FlatIndex</a>(resources,</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                        dims,</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                        metric == faiss::METRIC_L2,</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">useFloat16</a>,</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#a5a2d8737f4277e55fc1a99ef4fc4c630">useFloat16Accumulator</a>,</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#a0342a26f5e59563bfe04f3f80e3b27f0">storeTransposed</a>,</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#af304169eac7781b573f76d545f37b7d9">memorySpace_</a>);</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;}</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;GpuIndexFlat::~GpuIndexFlat() {</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  <span class="keyword">delete</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;}</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">   67</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">GpuIndexFlat::copyFrom</a>(<span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a>* index) {</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> = index-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> = index-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  <span class="comment">// GPU code has 32 bit indices</span></div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;  FAISS_THROW_IF_NOT_FMT(index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> &lt;=</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                         (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                         <span class="stringliteral">&quot;GPU index only supports up to %zu indices; &quot;</span></div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                         <span class="stringliteral">&quot;attempting to copy CPU index with %zu parameters&quot;</span>,</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                         (<span class="keywordtype">size_t</span>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                         (<span class="keywordtype">size_t</span>) index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>);</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  <span class="keyword">delete</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a> = <span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html">FlatIndex</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                        this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>,</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                        index-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == faiss::METRIC_L2,</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">useFloat16</a>,</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#a5a2d8737f4277e55fc1a99ef4fc4c630">useFloat16Accumulator</a>,</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#a0342a26f5e59563bfe04f3f80e3b27f0">storeTransposed</a>,</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                        <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#af304169eac7781b573f76d545f37b7d9">memorySpace_</a>);</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  <span class="comment">// The index could be empty</span></div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keywordflow">if</span> (index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> &gt; 0) {</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">add</a>(index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.data(),</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;               index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>,</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;               <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>));</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;  }</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;}</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">  100</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">GpuIndexFlat::copyTo</a>(<a class="code" href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a>* index)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>;</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  FAISS_ASSERT(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>);</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  FAISS_ASSERT(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6">getSize</a>() == this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>);</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.resize(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>);</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;  <span class="keywordflow">if</span> (this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> &gt; 0) {</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">useFloat16</a>) {</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;      <span class="keyword">auto</span> vecFloat32 = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(stream);</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;      fromDevice(vecFloat32, index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.data(), stream);</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;      fromDevice(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">getVectorsFloat32Ref</a>(), index-&gt;<a class="code" href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">xb</a>.data(), stream);</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    }</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;  }</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;}</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<span class="keywordtype">size_t</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a51b5aa0d68670ec7ccb32b0353c7387f">  124</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a51b5aa0d68670ec7ccb32b0353c7387f">GpuIndexFlat::getNumVecs</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;  <span class="keywordflow">return</span> this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>;</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;}</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a67161796f274a7171a67c36bdf1ef1db">  129</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a67161796f274a7171a67c36bdf1ef1db">GpuIndexFlat::reset</a>() {</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  <span class="comment">// Free the underlying memory</span></div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ae06cb2ffd46659b6639b97297546096e">reset</a>();</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = 0;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;}</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a0e74fad76628ddfb5ae3dc1d1c69f7e8">  138</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a0e74fad76628ddfb5ae3dc1d1c69f7e8">GpuIndexFlat::train</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  <span class="comment">// nothing to do</span></div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;}</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a35d31b6b5ea89629b369655fd03bd505">  143</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a35d31b6b5ea89629b369655fd03bd505">GpuIndexFlat::add</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;  FAISS_THROW_IF_NOT_MSG(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>, <span class="stringliteral">&quot;Index not trained&quot;</span>);</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;  <span class="comment">// For now, only support &lt;= max int results</span></div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  FAISS_THROW_IF_NOT_FMT(n &lt;= (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;                         <span class="stringliteral">&quot;GPU index only supports up to %d indices&quot;</span>,</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;                         std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="keywordflow">if</span> (n == 0) {</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="comment">// nothing to add</span></div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;  }</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;  <span class="comment">// To avoid multiple re-allocations, ensure we have enough storage</span></div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  <span class="comment">// available</span></div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a7a06b678b97e3732939f6a4fb5106ef6">reserve</a>(n, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>));</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  <span class="comment">// If we&#39;re not operating in float16 mode, we don&#39;t need the input</span></div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  <span class="comment">// data to be resident on our device; we can add directly.</span></div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;  <span class="keywordflow">if</span> (!<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">useFloat16</a>) {</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a3f2744527184208d1b845dda9d655a88">addImpl_</a>(n, x, <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    <span class="comment">// Otherwise, perform the paging</span></div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7">GpuIndex::add</a>(n, x);</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;  }</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;}</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;<span class="keywordtype">bool</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad42677502d391e88427b26da1ae9bd2d">  173</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad42677502d391e88427b26da1ae9bd2d">GpuIndexFlat::addImplRequiresIDs_</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;}</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00178"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a3f2744527184208d1b845dda9d655a88">  178</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a3f2744527184208d1b845dda9d655a88">GpuIndexFlat::addImpl_</a>(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;                       <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;                       <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* ids) {</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  FAISS_ASSERT(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>);</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  FAISS_ASSERT(n &gt; 0);</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  <span class="comment">// We do not support add_with_ids</span></div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  FAISS_THROW_IF_NOT_MSG(!ids, <span class="stringliteral">&quot;add_with_ids not supported&quot;</span>);</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  <span class="comment">// Due to GPU indexing in int32, we can&#39;t store more than this</span></div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  <span class="comment">// number of vectors on a GPU</span></div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  FAISS_THROW_IF_NOT_FMT(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> + n &lt;=</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;                         (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;                         <span class="stringliteral">&quot;GPU index only supports up to %zu indices&quot;</span>,</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;                         (<span class="keywordtype">size_t</span>) std::numeric_limits&lt;int&gt;::max());</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">add</a>(x, n, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>));</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> += n;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;}</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abe12febd18da31fb6c3355a2c6bff3d4">  199</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abe12febd18da31fb6c3355a2c6bff3d4">GpuIndexFlat::searchImpl_</a>(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                          <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;                          <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;                          <span class="keywordtype">float</span>* distances,</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;                          <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* labels)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  <span class="comment">// Input and output data are already resident on the GPU</span></div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;float, 2, true&gt;</a> queries(const_cast&lt;float*&gt;(x), {n, (int) this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;float, 2, true&gt;</a> outDistances(distances, {n, k});</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;Index::idx_t, 2, true&gt;</a> outLabels(labels, {n, k});</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  <span class="comment">// FlatIndex only supports int indices</span></div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;int, 2, true&gt;</a> outIntLabels(</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a1dda2dc3db1bd62cde6657c5cdbfb6e1">getMemoryManagerCurrentDevice</a>(), {n, k}, stream);</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;query(queries, k, outDistances, outIntLabels, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;  <span class="comment">// Convert int to idx_t</span></div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  thrust::transform(thrust::cuda::par.on(stream),</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                    outIntLabels.data(),</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                    outIntLabels.end(),</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;                    outLabels.data(),</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                    <a class="code" href="structfaiss_1_1gpu_1_1IntToIdxType.html">IntToIdxType</a>());</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;}</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a7f1cdf03d3545a43fc91bb5cace3b6fd">  226</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a7f1cdf03d3545a43fc91bb5cace3b6fd">GpuIndexFlat::reconstruct</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a> key,</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;                          <span class="keywordtype">float</span>* out)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  FAISS_THROW_IF_NOT_MSG(key &lt; this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>, <span class="stringliteral">&quot;index out of bounds&quot;</span>);</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  <span class="keywordflow">if</span> (<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">useFloat16</a>) {</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(key, 1, stream);</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    fromDevice(vec.data(), out, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, stream);</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">getVectorsFloat32Ref</a>()[key];</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    fromDevice(vec.data(), out, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, stream);</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;  }</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;}</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a472732e9bd8ffb1aa4c3abc31063dd28">  243</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a472732e9bd8ffb1aa4c3abc31063dd28">GpuIndexFlat::reconstruct_n</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a> i0,</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;                            <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a> num,</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;                            <span class="keywordtype">float</span>* out)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;  FAISS_THROW_IF_NOT_MSG(i0 &lt; this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>, <span class="stringliteral">&quot;index out of bounds&quot;</span>);</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;  FAISS_THROW_IF_NOT_MSG(i0 + num - 1 &lt; this-&gt;ntotal, <span class="stringliteral">&quot;num out of bounds&quot;</span>);</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;  <span class="keywordflow">if</span> (<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">useFloat16</a>) {</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(i0, num, stream);</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    fromDevice(vec.data(), out, num * this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, stream);</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    <span class="keyword">auto</span> vec = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">data_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">getVectorsFloat32Ref</a>()[i0];</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    fromDevice(vec.data(), out, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * num, stream);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  }</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;}</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;GpuIndexFlat::verifySettings_()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;  <span class="comment">// If we want Hgemm, ensure that it is supported on this device</span></div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;  <span class="keywordflow">if</span> (<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#a5a2d8737f4277e55fc1a99ef4fc4c630">useFloat16Accumulator</a>) {</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;<span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;<span class="preprocessor"></span>    FAISS_THROW_IF_NOT_MSG(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">useFloat16</a>,</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;                       <span class="stringliteral">&quot;useFloat16Accumulator can only be enabled &quot;</span></div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;                       <span class="stringliteral">&quot;with useFloat16&quot;</span>);</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    FAISS_THROW_IF_NOT_FMT(getDeviceSupportsFloat16Math(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexConfig.html#aab05a0aa7b42feae7df4e556a52ead57">device</a>),</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;                       <span class="stringliteral">&quot;Device %d does not support Hgemm &quot;</span></div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;                       <span class="stringliteral">&quot;(useFloat16Accumulator)&quot;</span>,</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;                       <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">config_</a>.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexConfig.html#aab05a0aa7b42feae7df4e556a52ead57">device</a>);</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;<span class="preprocessor"></span>    FAISS_THROW_IF_NOT_MSG(<span class="keyword">false</span>, <span class="stringliteral">&quot;not compiled with float16 support&quot;</span>);</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;<span class="preprocessor"></span>  }</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;}</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;<span class="comment">// GpuIndexFlatL2</span></div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;</div>
<div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#aed22de4a439fa0b2f560e3c716a7c626">  284</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#aed22de4a439fa0b2f560e3c716a7c626">GpuIndexFlatL2::GpuIndexFlatL2</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;                               <a class="code" href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a>* index,</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;                               <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html">GpuIndexFlatConfig</a> config) :</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, index, config) {</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;}</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;</div>
<div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a514832ff1173021362b583a6b2941b87">  290</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#aed22de4a439fa0b2f560e3c716a7c626">GpuIndexFlatL2::GpuIndexFlatL2</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;                               <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;                               <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html">GpuIndexFlatConfig</a> config) :</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, dims, faiss::METRIC_L2, config) {</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;}</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00297"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a9a9de859274bb73e6d8ea02cae5ca9a6">  297</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a9a9de859274bb73e6d8ea02cae5ca9a6">GpuIndexFlatL2::copyFrom</a>(<a class="code" href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a>* index) {</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">GpuIndexFlat::copyFrom</a>(index);</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;}</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00302"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#ab21960d379190b98aaa05ae3877dea09">  302</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#ab21960d379190b98aaa05ae3877dea09">GpuIndexFlatL2::copyTo</a>(<a class="code" href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a>* index) {</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">GpuIndexFlat::copyTo</a>(index);</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;}</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;<span class="comment">// GpuIndexFlatIP</span></div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;</div>
<div class="line"><a name="l00310"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5f8c6e1a31cae06f6a5bcd1828307304">  310</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5f8c6e1a31cae06f6a5bcd1828307304">GpuIndexFlatIP::GpuIndexFlatIP</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;                               <a class="code" href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a>* index,</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;                               <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html">GpuIndexFlatConfig</a> config) :</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, index, config) {</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;}</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;</div>
<div class="line"><a name="l00316"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#ad7ef0af6369d33f136579340f5bc8e0a">  316</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5f8c6e1a31cae06f6a5bcd1828307304">GpuIndexFlatIP::GpuIndexFlatIP</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;                               <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;                               <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html">GpuIndexFlatConfig</a> config) :</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">GpuIndexFlat</a>(resources, dims, faiss::METRIC_INNER_PRODUCT, config) {</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;}</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00323"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#aa181b1778a8dca81ac5cf6cd6a3d5f1d">  323</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#aa181b1778a8dca81ac5cf6cd6a3d5f1d">GpuIndexFlatIP::copyFrom</a>(<a class="code" href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a>* index) {</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">GpuIndexFlat::copyFrom</a>(index);</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;}</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00328"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#af70d0fe80cf3bf16ffffd8b16ed64f08">  328</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#af70d0fe80cf3bf16ffffd8b16ed64f08">GpuIndexFlatIP::copyTo</a>(<a class="code" href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a>* index) {</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">GpuIndexFlat::copyTo</a>(index);</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;}</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;} } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a258b0dd61a9c352ec7d68fa8bac0d7ad"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">faiss::gpu::FlatIndex::getVectorsFloat32Copy</a></div><div class="ttdeci">DeviceTensor&lt; float, 2, true &gt; getVectorsFloat32Copy(cudaStream_t stream)</div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00089">FlatIndex.cu:89</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlat_html"><div class="ttname"><a href="structfaiss_1_1IndexFlat.html">faiss::IndexFlat</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00021">IndexFlat.h:21</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexFlatConfig_html_a5a2d8737f4277e55fc1a99ef4fc4c630"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#a5a2d8737f4277e55fc1a99ef4fc4c630">faiss::gpu::GpuIndexFlatConfig::useFloat16Accumulator</a></div><div class="ttdeci">bool useFloat16Accumulator</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00038">GpuIndexFlat.h:38</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexFlatConfig_html_a0342a26f5e59563bfe04f3f80e3b27f0"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#a0342a26f5e59563bfe04f3f80e3b27f0">faiss::gpu::GpuIndexFlatConfig::storeTransposed</a></div><div class="ttdeci">bool storeTransposed</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00046">GpuIndexFlat.h:46</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatL2_html_a9a9de859274bb73e6d8ea02cae5ca9a6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#a9a9de859274bb73e6d8ea02cae5ca9a6">faiss::gpu::GpuIndexFlatL2::copyFrom</a></div><div class="ttdeci">void copyFrom(faiss::IndexFlatL2 *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00297">GpuIndexFlat.cu:297</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a046007ff2fafcafc6ae328769c700e39"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a046007ff2fafcafc6ae328769c700e39">faiss::gpu::GpuIndexFlat::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexFlat *index) const </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00100">GpuIndexFlat.cu:100</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a472732e9bd8ffb1aa4c3abc31063dd28"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a472732e9bd8ffb1aa4c3abc31063dd28">faiss::gpu::GpuIndexFlat::reconstruct_n</a></div><div class="ttdeci">void reconstruct_n(faiss::Index::idx_t i0, faiss::Index::idx_t num, float *out) const override</div><div class="ttdoc">Batch reconstruction method. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00243">GpuIndexFlat.cu:243</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a6988df17792dae30f24cc859728777e6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6">faiss::gpu::FlatIndex::getSize</a></div><div class="ttdeci">int getSize() const </div><div class="ttdoc">Returns the number of vectors we contain. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00045">FlatIndex.cu:45</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html">faiss::gpu::FlatIndex</a></div><div class="ttdoc">Holder of GPU resources for a particular flat index. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cuh_source.html#l00021">FlatIndex.cuh:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatL2_html_ab21960d379190b98aaa05ae3877dea09"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#ab21960d379190b98aaa05ae3877dea09">faiss::gpu::GpuIndexFlatL2::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexFlatL2 *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00302">GpuIndexFlat.cu:302</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlatL2_html"><div class="ttname"><a href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00077">IndexFlat.h:77</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1IntToIdxType_html"><div class="ttname"><a href="structfaiss_1_1gpu_1_1IntToIdxType.html">faiss::gpu::IntToIdxType</a></div><div class="ttdef"><b>Definition:</b> <a href="ConversionOperators_8cuh_source.html#l00021">ConversionOperators.cuh:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a51b5aa0d68670ec7ccb32b0353c7387f"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a51b5aa0d68670ec7ccb32b0353c7387f">faiss::gpu::GpuIndexFlat::getNumVecs</a></div><div class="ttdeci">size_t getNumVecs() const </div><div class="ttdoc">Returns the number of vectors we contain. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00124">GpuIndexFlat.cu:124</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_abe12febd18da31fb6c3355a2c6bff3d4"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abe12febd18da31fb6c3355a2c6bff3d4">faiss::gpu::GpuIndexFlat::searchImpl_</a></div><div class="ttdeci">void searchImpl_(int n, const float *x, int k, float *distances, faiss::Index::idx_t *labels) const override</div><div class="ttdoc">Called from GpuIndex for search. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00199">GpuIndexFlat.cu:199</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html">faiss::gpu::GpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8h_source.html#l00021">GpuResources.h:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_af8a1626e4c54a451d0b9f82df3a6687e"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#af8a1626e4c54a451d0b9f82df3a6687e">faiss::gpu::GpuIndexFlat::GpuIndexFlat</a></div><div class="ttdeci">GpuIndexFlat(GpuResources *resources, const faiss::IndexFlat *index, GpuIndexFlatConfig config=GpuIndexFlatConfig())</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00025">GpuIndexFlat.cu:25</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlatIP_html"><div class="ttname"><a href="structfaiss_1_1IndexFlatIP.html">faiss::IndexFlatIP</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00071">IndexFlat.h:71</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexFlatConfig_html_afd694186c87751937a646f3db2c8ba3d"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html#afd694186c87751937a646f3db2c8ba3d">faiss::gpu::GpuIndexFlatConfig::useFloat16</a></div><div class="ttdeci">bool useFloat16</div><div class="ttdoc">Whether or not data is stored as float16. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00033">GpuIndexFlat.h:33</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexConfig_html_aab05a0aa7b42feae7df4e556a52ead57"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexConfig.html#aab05a0aa7b42feae7df4e556a52ead57">faiss::gpu::GpuIndexConfig::device</a></div><div class="ttdeci">int device</div><div class="ttdoc">GPU device on which the index is resident. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00025">GpuIndex.h:25</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html">faiss::gpu::GpuIndex</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00033">GpuIndex.h:33</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatL2_html_aed22de4a439fa0b2f560e3c716a7c626"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatL2.html#aed22de4a439fa0b2f560e3c716a7c626">faiss::gpu::GpuIndexFlatL2::GpuIndexFlatL2</a></div><div class="ttdeci">GpuIndexFlatL2(GpuResources *resources, faiss::IndexFlatL2 *index, GpuIndexFlatConfig config=GpuIndexFlatConfig())</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00284">GpuIndexFlat.cu:284</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a6c564198df6ba675920c993e2af34b8c"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">faiss::gpu::GpuResources::getDefaultStream</a></div><div class="ttdeci">virtual cudaStream_t getDefaultStream(int device)=0</div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d"><div class="ttname"><a href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">faiss::Index::d</a></div><div class="ttdeci">int d</div><div class="ttdoc">vector dimension </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00066">Index.h:66</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_ad3f0d3071f987baabbdd3da4500c87ea"><div class="ttname"><a href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a></div><div class="ttdeci">long idx_t</div><div class="ttdoc">all indices are this type </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00062">Index.h:62</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexFlatConfig_html"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexFlatConfig.html">faiss::gpu::GpuIndexFlatConfig</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00025">GpuIndexFlat.h:25</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a7f1cdf03d3545a43fc91bb5cace3b6fd"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a7f1cdf03d3545a43fc91bb5cace3b6fd">faiss::gpu::GpuIndexFlat::reconstruct</a></div><div class="ttdeci">void reconstruct(faiss::Index::idx_t key, float *out) const override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00226">GpuIndexFlat.cu:226</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a1dda2dc3db1bd62cde6657c5cdbfb6e1"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a1dda2dc3db1bd62cde6657c5cdbfb6e1">faiss::gpu::GpuResources::getMemoryManagerCurrentDevice</a></div><div class="ttdeci">DeviceMemory &amp; getMemoryManagerCurrentDevice()</div><div class="ttdoc">Calls getMemoryManager for the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00033">GpuResources.cpp:33</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a67750633faa35677ee505a1e61cfe142"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">faiss::gpu::GpuIndex::device_</a></div><div class="ttdeci">const int device_</div><div class="ttdoc">The GPU device we are resident on. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00126">GpuIndex.h:126</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatIP_html_af70d0fe80cf3bf16ffffd8b16ed64f08"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#af70d0fe80cf3bf16ffffd8b16ed64f08">faiss::gpu::GpuIndexFlatIP::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexFlatIP *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00328">GpuIndexFlat.cu:328</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatIP_html_a5f8c6e1a31cae06f6a5bcd1828307304"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#a5f8c6e1a31cae06f6a5bcd1828307304">faiss::gpu::GpuIndexFlatIP::GpuIndexFlatIP</a></div><div class="ttdeci">GpuIndexFlatIP(GpuResources *resources, faiss::IndexFlatIP *index, GpuIndexFlatConfig config=GpuIndexFlatConfig())</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00310">GpuIndexFlat.cu:310</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a17b82a8a11783da6eb1b07c9aab98c36"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">faiss::gpu::GpuIndex::resources_</a></div><div class="ttdeci">GpuResources * resources_</div><div class="ttdoc">Manages streams, cuBLAS handles and scratch memory for devices. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00123">GpuIndex.h:123</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a3f2744527184208d1b845dda9d655a88"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a3f2744527184208d1b845dda9d655a88">faiss::gpu::GpuIndexFlat::addImpl_</a></div><div class="ttdeci">void addImpl_(int n, const float *x, const Index::idx_t *ids) override</div><div class="ttdoc">Called from GpuIndex for add. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00178">GpuIndexFlat.cu:178</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a7a06b678b97e3732939f6a4fb5106ef6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a7a06b678b97e3732939f6a4fb5106ef6">faiss::gpu::FlatIndex::reserve</a></div><div class="ttdeci">void reserve(size_t numVecs, cudaStream_t stream)</div><div class="ttdoc">Reserve storage that can contain at least this many vectors. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00066">FlatIndex.cu:66</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_ab91c9ddf7dd258620f424619cb029e22"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">faiss::gpu::FlatIndex::add</a></div><div class="ttdeci">void add(const float *data, int numVecs, cudaStream_t stream)</div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00196">FlatIndex.cu:196</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd"><div class="ttname"><a href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">faiss::Index::ntotal</a></div><div class="ttdeci">idx_t ntotal</div><div class="ttdoc">total nb of indexed vectors </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00067">Index.h:67</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_af576341f6996b0e80e26b9748db51eb7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7">faiss::gpu::GpuIndex::add</a></div><div class="ttdeci">void add(faiss::Index::idx_t, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00079">GpuIndex.cu:79</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_abb964875e0893de1d8334ca5ad0f62dc"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#abb964875e0893de1d8334ca5ad0f62dc">faiss::gpu::GpuIndexFlat::copyFrom</a></div><div class="ttdeci">void copyFrom(const faiss::IndexFlat *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00067">GpuIndexFlat.cu:67</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a></div><div class="ttdoc">Our tensor type. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00028">Tensor.cuh:28</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceScope_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceScope.html">faiss::gpu::DeviceScope</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceUtils_8h_source.html#l00068">DeviceUtils.h:68</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_af304169eac7781b573f76d545f37b7d9"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#af304169eac7781b573f76d545f37b7d9">faiss::gpu::GpuIndex::memorySpace_</a></div><div class="ttdeci">const MemorySpace memorySpace_</div><div class="ttdoc">The memory space of our primary storage on the GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00129">GpuIndex.h:129</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_ad42677502d391e88427b26da1ae9bd2d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ad42677502d391e88427b26da1ae9bd2d">faiss::gpu::GpuIndexFlat::addImplRequiresIDs_</a></div><div class="ttdeci">bool addImplRequiresIDs_() const override</div><div class="ttdoc">Flat index does not require IDs as there is no storage available for them. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00173">GpuIndexFlat.cu:173</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a9efdc92bf03d2d6820fb989cf77e8067"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a9efdc92bf03d2d6820fb989cf77e8067">faiss::gpu::GpuIndexFlat::config_</a></div><div class="ttdeci">const GpuIndexFlatConfig config_</div><div class="ttdoc">Our config object. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00123">GpuIndexFlat.h:123</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a8e18f641854b2bde83ecff0a2f9a6f4e"><div class="ttname"><a href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">faiss::Index::metric_type</a></div><div class="ttdeci">MetricType metric_type</div><div class="ttdoc">type of metric this index uses for search </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00074">Index.h:74</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a35d31b6b5ea89629b369655fd03bd505"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a35d31b6b5ea89629b369655fd03bd505">faiss::gpu::GpuIndexFlat::add</a></div><div class="ttdeci">void add(faiss::Index::idx_t, const float *x) override</div><div class="ttdoc">Overrides to avoid excessive copies. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00143">GpuIndexFlat.cu:143</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a12058744ffb3fbcbb047872449269c06"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">faiss::gpu::FlatIndex::getVectorsFloat32Ref</a></div><div class="ttdeci">Tensor&lt; float, 2, true &gt; &amp; getVectorsFloat32Ref()</div><div class="ttdoc">Returns a reference to our vectors currently in use. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00077">FlatIndex.cu:77</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html">faiss::gpu::GpuIndexFlat</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00052">GpuIndexFlat.h:52</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a67161796f274a7171a67c36bdf1ef1db"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a67161796f274a7171a67c36bdf1ef1db">faiss::gpu::GpuIndexFlat::reset</a></div><div class="ttdeci">void reset() override</div><div class="ttdoc">Clears all vectors from this index. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00129">GpuIndexFlat.cu:129</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlatIP_html_aa181b1778a8dca81ac5cf6cd6a3d5f1d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlatIP.html#aa181b1778a8dca81ac5cf6cd6a3d5f1d">faiss::gpu::GpuIndexFlatIP::copyFrom</a></div><div class="ttdeci">void copyFrom(faiss::IndexFlatIP *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00323">GpuIndexFlat.cu:323</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6e92732617c4dbe364e7678dd8773a7f"><div class="ttname"><a href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">faiss::Index::is_trained</a></div><div class="ttdeci">bool is_trained</div><div class="ttdoc">set if the Index does not require training, or if training is done already </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00071">Index.h:71</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_ae06cb2ffd46659b6639b97297546096e"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#ae06cb2ffd46659b6639b97297546096e">faiss::gpu::FlatIndex::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdoc">Free all storage. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00270">FlatIndex.cu:270</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceTensor_8cuh_source.html#l00022">DeviceTensor.cuh:22</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlat_html_a9001de47890fe5d2eced9551d3613d47"><div class="ttname"><a href="structfaiss_1_1IndexFlat.html#a9001de47890fe5d2eced9551d3613d47">faiss::IndexFlat::xb</a></div><div class="ttdeci">std::vector&lt; float &gt; xb</div><div class="ttdoc">database vectors, size ntotal * d </div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00023">IndexFlat.h:23</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a0e74fad76628ddfb5ae3dc1d1c69f7e8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a0e74fad76628ddfb5ae3dc1d1c69f7e8">faiss::gpu::GpuIndexFlat::train</a></div><div class="ttdeci">void train(Index::idx_t n, const float *x) override</div><div class="ttdoc">This index is not trained, so this does nothing. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8cu_source.html#l00138">GpuIndexFlat.cu:138</a></div></div>
<div class="ttc" id="namespacefaiss_html_afd12191c638da74760ff397cf319752c"><div class="ttname"><a href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a></div><div class="ttdeci">MetricType</div><div class="ttdoc">Some algorithms support both an inner product version and a L2 search version. </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00044">Index.h:44</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_ae393840fc80403369452c25c9155e067"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#ae393840fc80403369452c25c9155e067">faiss::gpu::GpuIndexFlat::data_</a></div><div class="ttdeci">FlatIndex * data_</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00127">GpuIndexFlat.h:127</a></div></div>
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